A self-hosted, compounding-memory AI assistant running on a Raspberry Pi.
NanoClaw is a personal AI assistant built on Anthropic's Claude that runs entirely on a Raspberry Pi. It connects to messaging channels (WhatsApp, Telegram, Slack, Discord), processes voice and images, schedules recurring tasks, and — unlike a standard chatbot — accumulates knowledge over time through a structured memory system.
** Step 1 **
Install ffmpeg with the vidstab plugin.
brew install ffmpeg --with-libvidstab
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| The regex patterns in this gist are intended only to match web URLs -- http, | |
| https, and naked domains like "example.com". For a pattern that attempts to | |
| match all URLs, regardless of protocol, see: https://gist.github.com/gruber/249502 | |
| License: https://opensource.org/license/bsd-3-clause | |
| # Single-line version: | |
| (?i)\b((?:https?:(?:/{1,3}|[a-z0-9%])|[a-z0-9.\-]+[.](?:com|net|org|edu|gov|mil|aero|asia|biz|cat|coop|info|int|jobs|mobi|museum|name|post|pro|tel|travel|xxx|ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|ax|az|ba|bb|bd|be|bf|bg|bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|cf|cg|ch|ci|ck|cl|cm|cn|co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|ee|eg|eh|er|es|et|eu|fi|fj|fk|fm|fo|fr|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|gp|gq|gr|gs|gt|gu|gw|gy|hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|je|jm|jo|jp|ke|kg|kh|ki|km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|lv|ly|ma|mc|md|me|mg|mh|mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|na|nc|ne|nf|ng|ni|nl|no|np|nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps |
| #! /usr/bin/env python3 | |
| """Enable GitHub sponsorships for all repositories in an organization. | |
| This script: | |
| - Reads a GitHub personal access token from the local keyring | |
| - Lists all repositories in the configured organization | |
| - Skips archived repositories | |
| - Enables the sponsorship button on each remaining repository via the GitHub API | |
| Requirements: |
Note
If you want to use Wayland in WSLg in a simpler setup, you can try the WSLg (Wayland) tutorial.
In this tutorial, we will setup GUI in WSL2. No additional software outside WSL (like VcXsrv or GWSL) is required. You will find this tutorial very similar to the one that replaces Xorg with Xvnc. Indeed, it's pretty much the same tutorial, with some few changes.
The key component we need to install is the desktop metapackage you want (GNOME, KDE, Xfce, Budgie, etc), and after that, replace the default Xorg by a script that calls Xwayland instead.
For this setup, I will use Ubuntu 24.04, and install GNOME Desktop. Unfortunately older versions of Ubuntu lack some fundamental things, so we cannot reproduce it in older versions (at least not fully). Since the key components aren't bound to Ubuntu or GNOME, you can use your favorite distro and GUI. Check the [Sample screenshot
C# / ASP.NET Core developer (Razor Pages + Windows Forms) targeting .NET 8–10.
var unless the type is truly obvious or required.App/Builder).i, j, k, w, h, x, y, z).